📦 AI Context Engineering (Part 2): Tokens, Context Windows & Memory - Why More Context Isn't Always Better

AI applications rely on providing correct context, yet increasing context windows does not always improve results. Users of ChatGPT, Claude, Gemini, and Cursor often encounter memory loss during long sessions. As conversations grow, models forget early decisions, contradict previous implementations, and rewrite fixed code. This cycle forces developers to restart chats and re-explain project architectures. Consequently, some developers are shifting their approach by changing software architecture instead of fighting inherent AI context window limitations.